Designing Adaptive Audio for Autonomous Driving: An Industrial and Academic-Led Design Challenge
Author(s) -
Doon MacDonald
Publication year - 2019
Language(s) - English
Resource type - Conference proceedings
DOI - 10.21785/icad2019.079
Subject(s) - set (abstract data type) , computer science , human–computer interaction , original equipment manufacturer , interface (matter) , multimedia , bubble , maximum bubble pressure method , parallel computing , programming language , operating system
The paper discusses a design challenge around the use of adaptive audio to support experience and uptake of autonomous driving. The paper outlines a collaboration that is currently being established between Researchers at Swansea university and a major OEM that is set to examine user-centred approaches to designing audio that enhance and enrich human-experience with driving. The paper outlines the potential collaboration and describes how we will address the challenge to designing adaptive audio for unsupervised /autonomous driving. The paper outlines the research question we will address and how we will apply a tool/method that supports rapid prototyping for novice designers alongside addressing ideas around aesthetics in the interface and relationships between sound as a means for communication and as experience.
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